DocumentCode :
1687177
Title :
Resource-usage modes detection for run-time resource prediction of video components
Author :
David, Ionut ; van den Heuvel, Martijn M. H. P. ; Mak, Rudolf H. ; Lukkien, Johan J.
Author_Institution :
Dept. of Math. & Comput. Sci., Eindhoven Univ. of Technol., Eindhoven, Netherlands
fYear :
2013
Firstpage :
161
Lastpage :
162
Abstract :
Consumer electronic products become increasingly more open and flexible, which is achieved by scalable and reusable software components. Important features in many of those products are provided via video components. Since these components have fluctuating resource usage, run-time resource-prediction strategies are required to enable cost-effective resource allocations. In this paper, we propose a novel method to identify resource-usage modes for video components.
Keywords :
fluctuations; resource allocation; telecommunication computing; video signal processing; consumer electronic products; cost-effective resource allocations; fluctuating resource usage; resource-usage modes detection; reusable software components; run-time resource prediction; run-time resource-prediction; scalable software components; video components; Accuracy; Consumer electronics; Monitoring; Motion pictures; Real-time systems; Resource management; Streaming media;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (ICCE), 2013 IEEE International Conference on
Conference_Location :
Las Vegas, NV
ISSN :
2158-3994
Print_ISBN :
978-1-4673-1361-2
Type :
conf
DOI :
10.1109/ICCE.2013.6486840
Filename :
6486840
Link To Document :
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